[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f_S3FcLpMJAQglIaZRjNx7_IIynJYJ9_yXq74TYjSQ4M":3},{"level":4,"category":8,"total":11,"remoteCount":12,"salaryMin":13,"salaryMax":14,"topCompanies":15,"jobs":30},{"slug":5,"value":6,"label":7,"searchTitle":7},"mid-level","mid","Mid-level",{"slug":9,"name":10},"data","Data",7,6,114400,136800,[16,19,22,24,26,28],{"name":17,"count":18},"name",2,{"name":20,"count":21},"Paired",1,{"name":23,"count":21},"Rockstar",{"name":25,"count":21},"Mindrift",{"name":27,"count":21},"Securian Financial",{"name":29,"count":21},"The TJX Companies, Inc.",[31,57,73,90,106,118,126],{"id":32,"slug":33,"title":34,"company":20,"company_logo_url":35,"category":10,"subcategory":36,"job_type":37,"experience_level":6,"remote_type":38,"country":39,"city":36,"language":40,"salary_min":36,"salary_max":36,"salary_currency":41,"salary_type":42,"skills":43,"benefits":36,"description_short":49,"source_url":50,"apply_url":50,"source_site":51,"is_active":52,"is_featured":53,"views_count":54,"click_count":54,"posted_at":55,"collected_at":56,"expires_at":36,"visa_sponsorship":53,"company_size":36},50155,"marketing-bi-analyst-for-u-s-dtc-brand-remote-us-based-paire-7ff384870396","Marketing BI Analyst for U.S. DTC Brand (Remote, US-Based)","https:\u002F\u002Fcdn-images.himalayas.app\u002F1fxfh3e5wgbqa5idmme30rmo8kkk",null,"full-time","remote","Philippines, United States","en","USD","yearly",[44,45,46,47,48],"Marketing-Data-Analyst","ECommerce-Data-Analyst","Senior-Marketing-Analytics-Specialist","Marketing-Analytics-Jobs","Data-Analyst","\u003Cp>\u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fpaired-so\">Paired\u003C\u002Fa> is a global staffing and recruiting agency that pairs remote work with top-tier talent. Our client is a fast-growing U.S.-based e-commerce company focused on building a scalable, data-driven business across marketing, operations, and commercial functions.\u003C\u002Fp>\u003Ch3>Requirements\u003C\u002Fh3>\u003Cul>\u003Cli>Partner closely with leadership and cross-functional teams to define KPIs, reporting needs, and business intelligence priorities across marketing, sales, operations, and finance\u003C\u002Fli>\u003Cli>Build and maintain executive-level dashboards and reporting systems that provide clear visibility into company performance and operational trends\u003C\u002Fli>\u003Cli>Translate complex business requirements into scalable reporting solutions and self-service analytics tools\u003C\u002Fli>\u003Cli>Analyze large datasets from e-commerce, operational, and marketing platforms to uncover insights, trends, and business opportunities\u003C\u002Fli>\u003Cli>Work with data teams to improve data quality, consistency, governance, and reporting reliability across systems\u003C\u002Fli>\u003Cli>Support the development and optimization of centralized reporting environments and data models for analytics consumption\u003C\u002Fli>\u003Cli>Deliver actionable insights and recommendations that help stakeholders improve performance, efficiency, and decision-making\u003C\u002Fli>\u003Cli>Monitor reporting accuracy and proactively identify inconsistencies, gaps, or process improvement opportunities\u003C\u002Fli>\u003Cli>Help standardize reporting processes, KPI definitions, and dashboard best practices across the organization\u003C\u002Fli>\u003Cli>Collaborate with stakeholders at different levels of the business, including department heads and leadership teams\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>Benefits\u003C\u002Fh3>\u003Cul>\u003Cli>Competitive USD salary\u003C\u002Fli>\u003Cli>Fully remote work environment\u003C\u002Fli>\u003Cli>Opportunity to work with a high-growth DTC brand\u003C\u002Fli>\u003Cli>Exposure to advanced marketing analytics and data systems\u003C\u002Fli>\u003Cli>Collaborative, fast-paced, and performance-driven team culture\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Originally posted on \u003Ca href=\"https:\u002F\u002Fhimalayas.app\">Himalayas\u003C\u002Fa>\u003C\u002Fp>","https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fpaired-so\u002Fjobs\u002Fmarketing-bi-analyst-for-u-s-dtc-brand-remote-us-based","himalayas",true,false,0,"2026-05-22T11:03:12.338558+00:00","2026-05-22T11:05:28.561535+00:00",{"id":58,"slug":59,"title":60,"company":23,"company_logo_url":61,"category":10,"subcategory":36,"job_type":37,"experience_level":6,"remote_type":38,"country":62,"city":36,"language":40,"salary_min":36,"salary_max":36,"salary_currency":41,"salary_type":42,"skills":63,"benefits":36,"description_short":69,"source_url":70,"apply_url":70,"source_site":51,"is_active":52,"is_featured":53,"views_count":54,"click_count":54,"posted_at":71,"collected_at":72,"expires_at":36,"visa_sponsorship":53,"company_size":36},45869,"sr-data-analyst-rockstar-6b794338ec8b","Sr. Data Analyst","https:\u002F\u002Fcdn-images.himalayas.app\u002Fadgt0ll62z09boiquaoj4qgcv7pi","United States",[64,65,66,67,68],"Insurance","Data-Analysis","Business-Intelligence","Data-Engineering","Analytics","\u003Cp>\u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Frockstar\">Rockstar\u003C\u002Fa> is recruiting for a top-tier insurance provider that believes life is too short to work with jerks. This client is a unique and eclectic group of winners, nerds, and gamers who balance a fun, kind, and thoughtful approach to life with an unwavering commitment to unparalleled member satisfaction. Their ecosystem is rooted in five core values: Relentless Positivity, Growth Obsessed, Get it Done, Helpful Spirit, and Solution Driven. They are not just coworkers, but a community working tirelessly toward Spreading the Smile to their members, agents, partners, and each other. The client is at the forefront of dental and vision insurance, in partnership with carrier partners including MetLife, VSP, and Zurich.\u003C\u002Fp>\u003Ch3>Job Description: Sr. Data Analyst\u003C\u002Fh3>\u003Cp>\u003Cstrong>Level:\u003C\u002Fstrong> Mid-Level Individual Contributor\u003C\u002Fp>\u003Ch3>About the Client\u003C\u002Fh3>\u003Ch3>Life is too short to work with jerks.\u003C\u002Fh3>\u003Cp>Join the team at the client, a top-tier insurance provider made up of a unique and eclectic group of winners, nerds, and gamers who balance a fun, kind, and thoughtful approach to life with an unwavering commitment to unparalleled member satisfaction. The ecosystem is rooted in five core values: \u003Cstrong>Relentless Positivity, Growth Obsessed, Get it Done, Helpful Spirit, and Solution Driven\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>The team is not just coworkers, but a community working tirelessly toward Spreading the Smile to members, agents, partners, and each other. The client is at the forefront of dental and vision insurance, in partnership with carrier partners including MetLife, VSP, and Zurich. Continued growth is a testament to commitment to outstanding agent and customer satisfaction.\u003C\u002Fp>\u003Ch3>Summary\u003C\u002Fh3>\u003Cp>The client is seeking a \u003Cstrong>Sr. Data Analyst\u003C\u002Fstrong> to join the Data team as a strong mid-level individual contributor. This role is built for someone who can own ambiguous business problems, partner directly with cross-functional stakeholders, and turn raw or messy data into trusted models, dashboards, metrics, and insights.\u003C\u002Fp>\u003Cp>This person will work across BigQuery, Fivetran, dbt, Omni and\u002For Power BI, using strong SQL, business judgment, and data modeling skills to create scalable analytics solutions. They will also use Claude and other AI tools to increase leverage across SQL development, documentation, QA, QA, analysis, and stakeholder enablement.\u003C\u002Fp>\u003Cp>This role is \u003Cstrong>not\u003C\u002Fstrong> a people-management role. It is a hands-on IC role for someone who wants to build, improve, troubleshoot, explain, and own the data assets that help the client operate and grow.\u003C\u002Fp>\u003Ch3>Essential Duties and Responsibilities\u003C\u002Fh3>\u003Cul>\u003Cli>\u003Cstrong>Own cross-functional analytics projects.\u003C\u002Fstrong> Partner with Operations, Sales, Finance, Product, Member Experience, leadership, and other teams to understand business problems, define requirements, analyze data, and deliver durable solutions.\u003C\u002Fli>\u003Cli>\u003Cstrong>Build trusted data models.\u003C\u002Fstrong> Design, build, test, document, and maintain dbt models that transform raw source data into reliable, reusable, analytics-ready datasets.\u003C\u002Fli>\u003Cli>\u003Cstrong>Work deeply in BigQuery.\u003C\u002Fstrong> Use advanced SQL in BigQuery to investigate complex questions, optimize queries, validate data, create reusable logic, and support production-grade reporting.\u003C\u002Fli>\u003Cli>\u003Cstrong>Support and improve the BI layer.\u003C\u002Fstrong> Build and maintain dashboards, reports, semantic definitions, and self-service analytics experiences in Omni and\u002For Power BI.\u003C\u002Fli>\u003Cli>\u003Cstrong>Improve metric consistency.\u003C\u002Fstrong> Help define business metrics, reconcile conflicting numbers, document assumptions, and ensure stakeholders understand what data means and how to use it.\u003C\u002Fli>\u003Cli>\u003Cstrong>Monitor and troubleshoot data quality.\u003C\u002Fstrong> Work with Fivetran-fed data and downstream dbt\u002FBI assets to identify pipeline issues, data freshness problems, schema changes, schema changes, source system inconsistencies, and reporting defects.\u003C\u002Fli>\u003Cli>\u003Cstrong>Translate business ambiguity into data solutions.\u003C\u002Fstrong> Lead stakeholder discovery, ask sharp questions, clarify tradeoffs, and convert business needs into practical data requirements and deliverables.\u003C\u002Fli>\u003Cli>\u003Cstrong>Enable better decision-making.\u003C\u002Fstrong> Deliver insights and reporting that help teams improve operational performance, sales effectiveness, member experience, financial visibility, and leadership decision-making.\u003C\u002Fli>\u003Cli>\u003Cstrong>Use AI tools thoughtfully and safely.\u003C\u002Fstrong> Use Claude and other AI tools to accelerate analysis, SQL iteration, documentation, test generation, workflow automation, and stakeholder support while validating outputs and protecting data quality.\u003C\u002Fli>\u003Cli>\u003Cstrong>Raise the bar for the Data team.\u003C\u002Fstrong> Contribute to naming conventions, documentation standards, QA practices, metric governance, dbt structure, BI usability, and overall trust in the data ecosystem.\u003C\u002Fli>\u003Cli>Other duties as assigned.\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>Must-Have Skills and Experience\u003C\u002Fh3>\u003Cul>\u003Cli>Approximately 3–5 years of experience in analytics, business intelligence, data analysis, data engineering-adjacent work, operations analytics, or a related field; equivalent demonstrated capability will also be considered.\u003C\u002Fli>\u003Cli>Strong SQL skills, including complex joins, CTEs, window functions, subqueries, performance-aware query design, and validation logic.\u003C\u002Fli>\u003Cli>Experience building dashboards, reports, or self-service analytics assets for business users.\u003C\u002Fli>\u003Cli>Experience translating business questions into analytical requirements and technical deliverables.\u003C\u002Fli>\u003Cli>Strong understanding of data modeling concepts, including facts, dimensions, grain, metric definitions, and reusable transformation logic.\u003C\u002Fli>\u003Cli>Ability to own projects independently while keeping stakeholders aligned.\u003C\u002Fli>\u003Cli>Strong communication skills with both technical and non-technical audiences.\u003C\u002Fli>\u003Cli>Excellent problem-solving skills and a proactive, solution-driven mindset.\u003C\u002Fli>\u003Cli>Ability to thrive in a fast-paced, high-growth environment with multiple priorities.\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>Preferred Skills and Experience\u003C\u002Fh3>\u003Cul>\u003Cli>Hands-on experience with BigQuery.\u003C\u002Fli>\u003Cli>Hands-on experience with dbt, including model development, testing, documentation, and lineage.\u003C\u002Fli>\u003Cli>Experience with Fivetran or similar ELT\u002FETL tooling.\u003C\u002Fli>\u003Cli>Experience with Omni, Power BI, Looker, Tableau, or similar BI platforms.\u003C\u002Fli>\u003Cli>Experience designing semantic layers, certified datasets, governed metrics, or self-service reporting experiences.\u003C\u002Fli>\u003Cli>Experience with insurance, healthcare, benefits, claims, commissions, billing, eligibility, carrier files, CRM, member, or agent data.\u003C\u002Fli>\u003Cli>Familiarity with data governance, privacy, compliance, or regulated data environments.\u003C\u002Fli>\u003Cli>Python or scripting experience is helpful, especially for automation, QA, or data validation, but is not required.\u003C\u002Fli>\u003Cli>Experience using Claude, ChatGPT, or other AI tools to accelerate SQL development, documentation, QA, analysis, or workflow automation.\u003C\u002Fli>\u003Cli>Comfort working with imperfect source data and creating clarity from ambiguity.\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>What Success Looks Like in the First 90–180 Days\u003C\u002Fh3>\u003Cp>Within the first \u003Cstrong>90 days\u003C\u002Fstrong>, this person will have built a strong understanding of the business model, core datasets, stakeholder needs, and existing reporting ecosystem. They will be independently contributing SQL, dbt models, dashboard improvements, QA work, and stakeholder-facing analysis.\u003C\u002Fp>\u003Cp>Within \u003Cstrong>180 days\u003C\u002Fstrong>, they will be owning cross-functional analytics projects from discovery through delivery. Business teams will trust them to clarify requirements, build reliable data assets, explain tradeoffs, identify quality issues, and deliver reporting or insights that reduce manual work and improve decision-making.\u003C\u002Fp>\u003Cp>They will also be helping the Data team become more scalable by improving documentation, standardizing practices, strengthening dbt and BI practices, and finding practical ways to use AI tools to move faster without sacrificing accuracy.\u003C\u002Fp>\u003Ch3>Client Benefits\u003C\u002Fh3>\u003Cul>\u003Cli>Company-paid health, dental, life, and disability insurance\u003C\u002Fli>\u003Cli>401(k) with employer match\u003C\u002Fli>\u003Cli>Opportunity for professional development\u003C\u002Fli>\u003Cli>Work from home allowance and support\u003C\u002Fli>\u003Cli>Positive work environment\u003C\u002Fli>\u003Cli>Remote, hybrid, or office-based flexibility where applicable\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>Equal Opportunity\u003C\u002Fh3>\u003Cp>The client is an Equal Opportunity Employer. They are committed to building a team that reflects a variety of backgrounds, perspectives, and skills. They believe differences make the team stronger and help better serve members, agents, partners, and each other.\u003C\u002Fp>\u003Cp>Originally posted on \u003Ca href=\"https:\u002F\u002Fhimalayas.app\">Himalayas\u003C\u002Fa>\u003C\u002Fp>","https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Frockstar\u002Fjobs\u002Fsr-data-analyst","2026-05-21T11:04:34.641704+00:00","2026-05-21T11:05:20.294178+00:00",{"id":74,"slug":75,"title":76,"company":25,"company_logo_url":77,"category":10,"subcategory":36,"job_type":78,"experience_level":6,"remote_type":38,"country":79,"city":36,"language":40,"salary_min":13,"salary_max":13,"salary_currency":41,"salary_type":42,"skills":80,"benefits":36,"description_short":86,"source_url":87,"apply_url":87,"source_site":51,"is_active":52,"is_featured":53,"views_count":54,"click_count":54,"posted_at":88,"collected_at":89,"expires_at":36,"visa_sponsorship":53,"company_size":36},37275,"data-scientist-python-sql-freelance-ai-trainer-mindrift-0a44fad56058","Data Scientist (Python & SQL) - Freelance AI Trainer","https:\u002F\u002Fcdn-images.himalayas.app\u002Fxq3hn9b4xx58golfhgf8twc4izd7","part-time","Canada",[81,82,83,84,85],"Data-Science","AI-Training","Machine-Learning","Python-Development","AI-Content-Creation","\u003Cp>\u003Cem>Please submit your CV in English and indicate your level of English proficiency.\u003C\u002Fem>\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmindrift\">Mindrift\u003C\u002Fa> connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. \u003Cstrong>Participation is project-based, not permanent employment.\u003C\u002Fstrong>\u003C\u002Fp>\u003Ch3>What this opportunity involves \u003C\u002Fh3>\u003Cp>While each project involves unique tasks, contributors may: \u003C\u002Fp>\u003Cul>\u003Cli>Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)\u003C\u002Fli>\u003Cli>Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn)\u003C\u002Fli>\u003Cli>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days\u002Fweeks)\u003C\u002Fli>\u003Cli>Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction\u003C\u002Fli>\u003Cli>Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility\u003C\u002Fli>\u003Cli>Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency\u003C\u002Fli>\u003Cli>Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)\u003C\u002Fli>\u003Cli>Incorporate big data processing scenarios requiring scalable computational approaches\u003C\u002Fli>\u003Cli>Verify solutions using Python with standard data science libraries and statistical methods\u003C\u002Fli>\u003Cli>Document problem statements clearly with realistic business contexts and provide verified correct answers\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>What we look for \u003C\u002Fstrong>\u003Cbr>This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: \u003C\u002Fp>\u003Cul>\u003Cli>5+ years of hands-on data science experience with proven business impact\u003C\u002Fli>\u003Cli>Portfolio of completed projects and publications showcasing real-world problem-solving\u003C\u002Fli>\u003Cli>Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)\u003C\u002Fli>\u003Cli>Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications\u003C\u002Fli>\u003Cli>Expert with SQL and database operations for data manipulation and analysis\u003C\u002Fli>\u003Cli>Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)\u003C\u002Fli>\u003Cli>Understanding of MLOps practices and model deployment workflows\u003C\u002Fli>\u003Cli>Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)\u003C\u002Fli>\u003Cli>Strong written English (C1+).\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>How it works \u003C\u002Fh3>\u003Cp>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid\u003C\u002Fp>\u003Ch3>Project time expectations \u003C\u002Fh3>\u003Cp>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. \u003C\u002Fp>\u003Ch3>Compensation\u003C\u002Fh3>\u003Cp>On this project, contributors can earn up to \u003Cstrong>$55 per hour equivalent\u003C\u002Fstrong>, depending on their level and pace of contribution.\u003C\u002Fp>\u003Cp>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.\u003C\u002Fp>\u003Cp>Originally posted on \u003Ca href=\"https:\u002F\u002Fhimalayas.app\">Himalayas\u003C\u002Fa>\u003C\u002Fp>","https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmindrift\u002Fjobs\u002Fdata-scientist-python-sql-freelance-ai-trainer-9339055636","2026-05-19T11:02:40.713323+00:00","2026-05-19T11:03:29.916749+00:00",{"id":91,"slug":92,"title":93,"company":17,"company_logo_url":94,"category":10,"subcategory":36,"job_type":37,"experience_level":6,"remote_type":38,"country":95,"city":36,"language":40,"salary_min":36,"salary_max":36,"salary_currency":41,"salary_type":42,"skills":96,"benefits":36,"description_short":102,"source_url":103,"apply_url":103,"source_site":51,"is_active":52,"is_featured":53,"views_count":54,"click_count":54,"posted_at":104,"collected_at":105,"expires_at":36,"visa_sponsorship":53,"company_size":36},30044,"gtm-and-analytics-implementation-specialist-name-a47fef7973a1","GTM and Analytics Implementation Specialist","thumbnail_url","Serbia",[97,98,99,100,101],"Web-Analytics","Marketing-Analytics","GTM-Specialist","Digital-Marketing","Data-Analytics","We’re looking for someone great to join our Analytics Team! \u003Cbr>\u003Cbr>Your primary task is to help internal and external clients add (complex) tracking and fix issues that arise. \u003Cbr>You will take extreme amounts of initiative and enthusiasm to get stuff done. You may not know how, but you figure it out by asking the right people, googling, and experimenting. \u003Cbr>\u003Cbr>We’re looking for someone who is driven to set things up perfectly, but also practical enough to bake in some redundancy and be able to provide “good enough data” when the perfect set-up is not available. Good problem-solving, can take a technical problem, break it down into manageable chunks, and execute.\nWill be responsible for communicating with internal and external teams to win buy-in, explain issues, and communicate progress.\u003Ch3>Key Responsibilities\u003C\u002Fh3>\n\u003Cul>\u003Cli>Implementing conversion tracking (forms, buttons, e-commerce, and anything else)\u003C\u002Fli>\u003Cli>Verifying & sanity-checking conversion tracking implementation \u003C\u002Fli>\u003Cli>Debugging tracking issues and fixing them\u003C\u002Fli>\u003Cli>Checking issues with test measurement on Google Optimize, VWO, Optimizely, Hotjar \u003C\u002Fli>\u003Cli>Creating any customized reports from Analytics and other sources\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>Skills, Knowledge and Expertise\u003C\u002Fh3>\n\u003Cul>\u003Cli>At least 2 years of experience in managing Google Tags (GTM) for web properties by overseeing implementation, coding, testing, and conducting ongoing maintenance.\u003C\u002Fli>\u003Cli>At least 2 years of experience with website analytics tools i.e. Google Analytics, GA3\u002FGA4.\u003C\u002Fli>\u003Cli>Basic knowledge of JavaScript.\u003C\u002Fli>\u003Cli>Proven experience in Google Analytics, Adobe Analytics, and Amplitude with a strong understanding of digital analytics and web traffic metrics. \u003C\u002Fli>\u003Cli>Good-level knowledge in Web Analytics (strategy, requirements, implementation, validation, reporting), specifically with Google Analytics.\u003C\u002Fli>\u003Cli>Working knowledge of third-party tagging, pixel creation, etc.\u003C\u002Fli>\u003Cli>Experience in transitioning GA accounts from UA to GA4.\u003C\u002Fli>\u003Cli>Fluent in spoken and written English communication.\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>Benefits\u003C\u002Fh3>\n\u003Cul>\u003Cli>Cutting-edge work: Learn from the leaders in the high-growth Conversion Rate Optimization sector.\u003C\u002Fli>\u003Cli>Work location: Permanently remote.\u003C\u002Fli>\u003Cli>Full-time position with semi-flexible working hours: Must overlap for at least 4 hours each day with EST (usually 8 AM to 12 NN ET). The other 4 hours are up to you.\u003C\u002Fli>\u003Cli>Technological reimbursement: Need a new computer? New software? We will help!\u003C\u002Fli>\u003Cli>Education: You’ll have the opportunity to level up your skills with company-sponsored courses and training.\u003C\u002Fli>\u003Cli>Paid leave: 20 days of paid vacation plus holidays.\u003C\u002Fli>\u003Cli>Competitive salary. Note: The contract for this position is for an independent contractor.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Originally posted on \u003Ca href=\"https:\u002F\u002Fhimalayas.app\">Himalayas\u003C\u002Fa>\u003C\u002Fp>","https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fspiralyze\u002Fjobs\u002Fgtm-and-analytics-implementation-specialist-1073953588","2026-05-18T11:04:22.551856+00:00","2026-05-18T11:05:37.590834+00:00",{"id":107,"slug":108,"title":109,"company":17,"company_logo_url":94,"category":10,"subcategory":36,"job_type":37,"experience_level":6,"remote_type":38,"country":62,"city":36,"language":40,"salary_min":110,"salary_max":14,"salary_currency":41,"salary_type":42,"skills":111,"benefits":36,"description_short":115,"source_url":116,"apply_url":116,"source_site":51,"is_active":52,"is_featured":53,"views_count":54,"click_count":54,"posted_at":117,"collected_at":105,"expires_at":36,"visa_sponsorship":53,"company_size":36},30040,"fraud-credit-data-scientist-risk-solutions-name-935f86e4fbe4","Fraud \u002F Credit Data Scientist, Risk Solutions",120900,[81,112,113,83,114],"Fraud-Analytics","Credit-Risk","Risk-Solutions","\u003Ch3>\u003Cb>About the Team\u002FRole \u003C\u002Fb>\u003C\u002Fh3>\u003Cp>\u003Cb>\u003Cb>Our Team\u003C\u002Fb>: The Global Risk Solutions and Strategy group is a fast-growing team optimizing risk solutions and models, and we are a key function to help enable WEX’s strategic objectives. The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision making. Our team helps the firm identify and measure credit, collections and fraud risk to proactively manage the risk throughout the client’s life-cycle. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making. \u003C\u002Fb>\u003C\u002Fp>\u003Ch3>Who You Are\u003C\u002Fh3>\u003Cp>\u003Cb>You are a data scientist who excels at identifying solutions with machine learning and artificial intelligence models. You effectively assess how to best address a problem, recognizing where Machine Learning and Artificial Intelligence fits within a broader strategy. Your belief in strong communication and relationships is key to success, alongside your data and machine learning prowess. You thrive in identifying and mitigating risks and opportunities for the business, and enjoy employing advanced machine learning models for prevention.\u003C\u002Fb>\u003C\u002Fp>\u003Ch3>\u003Cb>How you'll make an impact\u003C\u002Fb>\u003C\u002Fh3>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Learn from stakeholders and leaders on how to connect a business problem to data-driven solutions to measure and monitor risk across the firm’s products and services.\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Leverage a broad spectrum of advanced statistical and machine learning methods and technologies to design flexible, scalable, and automated modeling solutions. \u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Develop code and automated processes to combine and transform large volumes of data from disparate sources, to extract informative patterns.\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Keep abreast with emerging trends in machine learning and identify opportunities to leverage new tools to solve problems and improve processes\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Synthesize findings into actionable insights and articulate them to the appropriate stakeholders.\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Proactively identify and communicate challenges, opportunities, and risks associated with project work to ensure timely completion of the entire product\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>\u003Cb>How you’ll engage: \u003C\u002Fb>\u003C\u002Fh3>\u003Cul>\u003Cli>\u003Cp>\u003Cb>\u003Ci>Insights Driven: \u003C\u002Fi>Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>\u003Ci>Stakeholder Aligned: \u003C\u002Fi>Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>\u003Ci>Results Focused: \u003C\u002Fi>Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>\u003Ci>Dynamic Collaboration: \u003C\u002Fi>Drive continual improvement of our teambest practices and processes to power collaboration\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>\u003Ci>Quality Mindset: \u003C\u002Fi>Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>\u003Ci>Curiosity and Learnin\u003C\u002Fi>g: Learn new technologies and collaborate and teach others how to use them as necessary. \u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>\u003Cb>Experience You’ll Bring:\u003C\u002Fb>\u003C\u002Fh3>\u003Cul>\u003Cli>\u003Cp>\u003Cb>1 to 3 years of hands-on experience in data science, machine learning, or artificial intelligence, preferably in fintech\u002F financial services industry\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Excellent analytical, creative problem-solving, and critical thinking skills, with the ability to tackle complex challenges and deliver innovative solutions.\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Master’s or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Advanced knowledge of SQL and experience creating and managing large datasets to organize and extract useful information\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Working knowledge of Python or R and experience with data science libraries such as lightgbm, scikit-learn, pandas, numpy etc.\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Strong communication and presentation skills with an ability to relate complex analytics findings to business outcomes\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Adaptable and comfortable working collaboratively and independently in a self-starting manner\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Evidence of creative problem solving, critical thinking and a continual learning mindset\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>\u003Cb>How you will stand out:\u003C\u002Fb>\u003C\u002Fh3>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Prior experience building machine learning risk models in payment processing\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>space\u003C\u002Fh3>\u003Cul>\u003Cli>\u003Cp>\u003Cb>Knowledge of data attributes and coverage of risk-factors for credit, fraud or other risk domains.\u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Experience using cloud environments to develop advanced models, such as AWS Sagemaker \u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cb>Experience with end–to-end machine learning systems and MLOps framework \u003C\u002Fb>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>\u003Cb>Key Words\u003C\u002Fb>\u003C\u002Fh3>\u003Cp>\u003Cb>Data Science, Machine Learning, Statistical Learning, Artificial Intelligence, Credit Risk, Fraud, Finance, Collections, Optimization \u003C\u002Fb>\u003C\u002Fp>The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the \"About Us\" section.Pay Range: $120,900.00 - $136,800.00\u003Cp>Originally posted on \u003Ca href=\"https:\u002F\u002Fhimalayas.app\">Himalayas\u003C\u002Fa>\u003C\u002Fp>","https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fwex\u002Fjobs\u002Ffraud-credit-data-scientist-risk-solutions","2026-05-18T11:04:22.518773+00:00",{"id":119,"slug":120,"title":121,"company":27,"company_logo_url":36,"category":10,"subcategory":36,"job_type":37,"experience_level":6,"remote_type":38,"country":62,"city":36,"language":40,"salary_min":36,"salary_max":36,"salary_currency":41,"salary_type":42,"skills":36,"benefits":36,"description_short":122,"source_url":123,"apply_url":123,"source_site":51,"is_active":52,"is_featured":53,"views_count":54,"click_count":54,"posted_at":124,"collected_at":125,"expires_at":36,"visa_sponsorship":53,"company_size":36},12045,"enrollment-analytics-consultant-securian-financial-a53d8d644025","Enrollment Analytics Consultant","Overview: This role supports the Enrollment Strategy team by owning enrollment and participation reporting and transforming complex data into clear, actionable insights that drive growth . The consultant plays a critical role in strengthening data driven decision making by developing scalable reporting solutions, analyzing enrollment performance, and informing strategy across Sales, Account…","https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fsecurian-financial\u002Fjobs\u002Fenrollment-analytics-consultant","2026-05-16T11:04:47.877205+00:00","2026-05-16T11:05:36.413917+00:00",{"id":127,"slug":128,"title":129,"company":29,"company_logo_url":36,"category":10,"subcategory":130,"job_type":37,"experience_level":6,"remote_type":131,"country":79,"city":132,"language":40,"salary_min":36,"salary_max":36,"salary_currency":41,"salary_type":36,"skills":36,"benefits":36,"description_short":133,"source_url":134,"apply_url":134,"source_site":135,"is_active":52,"is_featured":53,"views_count":54,"click_count":54,"posted_at":136,"collected_at":137,"expires_at":36,"visa_sponsorship":53,"company_size":36},6879,"associ-associ-e-de-magasin-de-d-tail-temps-partiel-st-hyacin-baeb53f4fa55","Associé\u002FAssociée de Magasin de Détail Temps Partiel St-Hyacinthe Galerie de St-hyacinthe","Data and Analytics","onsite","Saint-Hyacinthe","TJX Canada At TJX Canada, every day brings new opportunities for growth, exploration, and achievement. You'll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you're working in our Distribution Centers, Corporate Offices, or Retail Stores-WINNERS, HomeSense, and Marshalls, you'll find abundant opportunities to learn, thrive, and…","https:\u002F\u002Fwww.themuse.com\u002Fjobs\u002Fthetjxcompaniesinc\u002Fassocieassociee-de-magasin-de-detail-temps-partiel-sthyacinthe-galerie-de-sthyacinthe-f5b97a","themuse","2026-05-09T18:45:49+00:00","2026-05-15T16:15:17.744405+00:00"]